Association between companion animal ownership and overall life satisfaction in Seoul, Korea

The Perks of Pet Ownership? The Effects of Pet Ownership on Well-Being During the COVID-19 Pandemic

Pet ownership has often been lauded as a protective factor for well-being, particularly during the COVID-19 pandemic. We expanded this question to consider how pet (i.e., species, number) and owner (i.e., pet relationship quality, personality, attachment orientations) characteristics affected the association between pet ownership and well-being in a pre-registered mixed method analysis of 767 people assessed three times in May 2020. In our qualitative analyses, pet owners listed both benefits and costs of pet ownership during the COVID-19 pandemic. In our quantitative analyses, we found that pet ownership was not reliably associated with well-being. Furthermore, this association largely did not depend on the number of pets owned, the species of pet(s) owned, the quality of the human-pet relationship, or the owner's psychological characteristics. Our findings are consistent with a large body of research showing null associations of pet ownership on well-being (quantitatively) but positive reports of pet ownership (qualitatively).

Behavior-Based Video Summarization System for Dog Health and Welfare Monitoring

The popularity of dogs has been increasing owing to factors such as the physical and mental health benefits associated with raising them. While owners care about their dogs' health and welfare, it is difficult for them to assess these, and frequent veterinary checkups represent a growing financial burden. In this study, we propose a behavior-based video summarization and visualization system for monitoring a dog's behavioral patterns to help assess its health and welfare. The system proceeds in four modules: (1) a video data collection and preprocessing module; (2) an object detection-based module for retrieving image sequences where the dog is alone and cropping them to reduce background noise; (3) a dog behavior recognition module using two-stream EfficientNetV2 to extract appearance and motion features from the cropped images and their respective optical flow, followed by a long short-term memory (LSTM) model to recognize the dog's behaviors; and (4) a summarization and visualization module to provide effective visual summaries of the dog's location and behavior information to help assess and understand its health and welfare. The experimental results show that the system achieved an average F1 score of 0.955 for behavior recognition, with an execution time allowing real-time processing, while the summarization and visualization results demonstrate how the system can help owners assess and understand their dog's health and welfare.

The influence of pet ownership on self-compassion among nurses: a cross-sectional study

Background

The modern lifestyle trend of pet ownership is undoubtedly beneficial for both physical and mental health. Research has shown a connection between pet ownership and staff self-compassion. However, there has not been any evidence linking pet ownership to self-compassion in the nurse population.

Aims

To investigate the current status of pet ownership among nurses and explore the influence of pet ownership on self-compassion among nurses.

Methods

An online survey was conducted in July 2022 with 1,308 nurses in China. Data were collected using a general information questionnaire and a self-compassion scale. To compare categorical variables, the independent t test, one-way ANOVA, and multiple linear regression analysis were utilized. SPSS software was used for the statistical analysis.

Results

We found that 16.9% of nurses owned at least one pet, and dogs and cats were the primary pets. The t test for independent samples showed that pet owners and non-pet owners scored differently on self-compassion (t = 3.286, p = 0.001), self-kindness (t = 3.378, p = 0.001), common humanity (t = 2.419, p = 0.016), and mindfulness (t = 2.246, p = 0.025). One-way ANOVA revealed that the highest degree was an influencing factor of self-compassion (χ ² = 1.386, p = 0.019). Multiple linear regression showed that average monthly income, pet ownership, and highest degree were the factors that influenced self-compassion most significantly (F = 8.335, p < 0.001).

Conclusion

The results revealed that nurses actually own pets as part of their modern lifestyle, which provides them with social support and potentially enhances their self-compassion. More efforts should be focused on the impact of pet ownership on nurses' physical and mental health, and pet-based interventions should also be developed.

Bacterial Prevalence in Skin, Urine, Diarrheal Stool, and Respiratory Samples from Dogs

The emergence of bacterial infections in companion animals is a growing concern as humans can also be infected through the transmission of pathogenic bacteria. Because there have been few studies conducted on companion animals, the extent and significance of prevalence in veterinary practices remain unknown. This is the first nationwide surveillance report aimed at elucidating the prevalence pattern and associated infections of isolated bacteria from dogs in Korea. Bacterial isolates were collected from seven different laboratories participating in the Korean Veterinary Antimicrobial Resistance Monitoring System from 2018 to 2019. The samples were obtained from the diarrheal stool, skin/ear, urine, and respiratory samples of veterinary hospital-visited dogs. Isolation and identification of bacterial species was carried out using a bacterial culture approach and then confirmed with matrix-assisted laser desorption/ionization-time-of-flight mass spectrometry (MALDI-TOF) and polymerase chain reaction (PCR). Out of 3135 isolates in dogs, 1085, 1761, 171, and 118 were extracted from diarrheal stool, skin/ear, urine, and respiratory samples, respectively. The overall prevalence of bacteria was higher among two age groups (1-5 and 6-10 years) with a 66.5 percent prevalence. This study showed that Escherichia coli was the most prevalent species among isolated bacterial species of diarrheal and urine origin, whereas Staphylococcus pseudintermedius was the most prevalent among skin and respiratory sample isolates. The data on the prevalence of bacteria for each dog specimen could provide basic information to estimate the extent of bacterial infection and antimicrobial resistance development and to guide veterinarians in therapeutic decisions in clinical practices throughout Korea.

Prevalence of Bacterial Species in Skin, Urine, Diarrheal Stool, and Respiratory Samples in Cats

Bacterial infections are a significant cause of illness and death in different animals. However, these bacterial infections could be a source of human disease or illness if these pathogenic bacteria are present in companion animals. This study aimed to investigate the prevalence of pathogenic bacteria associated with different site infections in cats in the Republic of Korea. For this purpose, samples were collected from the skin/ear, urine, respiratory, and diarrheal stool origins of cats obtained between 2018 and 2019 from seven different laboratories and centers participating in the Korean Veterinary Antimicrobial Resistance Monitoring System. These samples were subjected to analysis for the identification and isolation of associated bacterial species using a bacterial culture approach. A total of 609 isolates were identified in four different cat samples. Among them, 267, 184, 57, and 101 were extracted from diarrheal stool, skin, urine, and respiratory samples, respectively. The findings of this study showed that Escherichia coli was the most prevalent species among isolated bacterial species of diarrheal stool and urine origin. Staphylococcus felis and Pasteurella multocida were most prevalent in the skin and respiratory tract, respectively. However, there was no significant difference in bacterial distribution among the different age groups in all samples. This is the first nationwide surveillance report that associates bacterial prevalence with their site of origin and helps in the prevention of bacterial infections in cats. Moreover, the pattern of bacterial prevalence could provide sufficient guidance for the selection of empirical antimicrobial therapy against infections in cats.